Integrative analysis of multi-modal single-cell data
October 20 @ 9:00 am - 10:00 am PDT
Single cell RNA-seq has proven to be a transformative tool for the discovery of cell types and states, but the transcriptome reflects only one aspect of cellular identity. The next frontier for single cell genomics is ‘multi-modal’ analysis, where multiple types of measurements are simultaneously collected from individual cells, often in parallel with gene expression. Discover how you can take advantage of cutting-edge single cell approaches with Dr. Rahul Satija of the New York Genome Center as he introduces integrative multi-modal analysis with Seurat v4.